Introduction to IP targeting.

1. Your Exact Online Target
Lives Right Here

2. • Retargeting – Based on a past
site visit.
• Behavioral Targeting - Based
on something web users have
done online.
• Audience Segmentation –
Based on demography of the
sites people visit.
• Geo-Targeting – Based on zip
code demography.
• PPC – Based on search terms.
Other Forms of Targeting

3. • Patent-pending technology
to target ads at a household
level based on IP address
• More accurate targeting =
less waste and higher ROI
Solution
• Have access to 30-50
billion ad impressions per
day from > 1MM sites
• Enhanced privacy for web
users over contemporary
solutions

4. +
Geospatial
DNS
Mapping
Data
WWW
Network
Topology
Network
Point
Connection
Speed
Public
Records
IP Address
Home
Address
How it Works
Our patent-pending process combines more
than 30 public data elements to hyper-
accurately map an IP address to a home
address.
=Web Traffic
Better Targeting

5. What is Household IP
Targeting?

6. College Campus Targeting

7. Targeting Tradeshows and
High-Value Buildings
• Target tradeshow /
conference attendees in
their hotels or on the
convention floor.
• Target legislators at the
Statehouse or the
Whitehouse.

8. Sites We Place Ads On

9. Banner Ad
Sample Ads

10. Sample Ads
Display Ad

11. Sample Ad Pre-Roll

12. Match-Back w/ Other Ad Campaigns
Match-Back w/ Direct Mail
Sample Reports
Control Group Targets Total
7206 3083 10289
Percent 70.04% 29.96% 100.00%
Sales 6 4 10
Match Rate 0.083260% 0.12974% 0.0972%
Improvement 55.82%

13. Keys to a Successful Campaign
1. Use the best list possible.
Current / Past Customers
1. Pre-Qualified Prospects
2. Look-a-Like Modeled.
2. Have ads that resonate with the audience.
3. Special offer / strong call-to-action to get their attention.
4. Test different ad messages to determine which one will
get the best response rate.
5. Simple conversion process to sales / sign-up’s.
Great
Campaign!
Great
Ads
Great
Targeting
Great
List
Bad
Campaign!
Poor Ads
Great
Targeting
Poor List

14. Good vs. Bad (Examples)

15. Case Study Regional Home
Furnishing
Produced 320% ROI by Targeting the Client’s CRM
Data
Upon completion of the ad serving, El Toro worked with the
customer to preform a differential match-back. This process
compares the households that we targeted with household that we
did not target, allowing us to determine the effectiveness of this
advertising when other ad campaigns are present. Prospects we
targeted were 14% more likely to purchase and on average spent 4%
more on their purchases.
We built a one month IP Targeting Campaign to target past customers
at one of their retail locations, these customers home addresses were
provided from their CRM system. The campaign was centered
around providing a time-limited discount (via a printable coupon). Or
internal Analytics and Google Analytics were used to track campaign
performance.
After completing a discovery process with the client, we decided to
launch an IP Targeting campaign that would complement other
ongoing advertising efforts.
Our client, a regional provider of home furnishings had an extensive
list of past purchasers, but lacked a cost effective way to market to
them.

16. Case Study Entertainment
Produced 300% Increase in CTR and Record Ticket
Sales
Upon completion of the ad serving, We worked with the customer
to help analyze the results. CTR increased 300% over other digital;
campaigns and they sold a record number of pre-sale tickets.
We built a one month IP Targeting Campaign to provide special ticket
offers on regional college campuses. The campaign was centered
around providing a time-limited discount . Our anternal analytics and
Google Analytics were used to track campaign performance.
After completing a discovery process with the client, we decided to
launch an IP Targeting campaign that would target campuses around
their upcoming music festival
Our client, a regional music festival wanted a highly targeted way to
reach college students on campus.

17. Sample Campaigns